CN112052271B - Data processing method and device - Google Patents
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Abstract
The application provides a data processing method and a data processing device, which are used for acquiring job hunting information of a job seeker through a preset type application, wherein the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization; determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength; and outputting target recruitment information, realizing recruitment information retrieval through a preset type application capable of acquiring enterprise information, combining a company portrait with job seeking information in the process of determining the target recruitment information, wherein the company portrait is obtained according to the enterprise information for representing the company strength, and the company strength for issuing the recruitment information is consulted in the process of determining the target recruitment information, so that the authenticity and reliability of the company for issuing the recruitment information are improved, and further the authenticity and reliability of the target recruitment information are improved.
Description
Technical Field
The application belongs to the technical field of data processing, and particularly relates to a data processing method and device.
Background
The server currently serving each company for recruitment matches the job information with the recruitment information after receiving the job information, obtains target recruitment information matched with the job information, sends the target recruitment information to a terminal of a job seeker, and the job seeker can understand some situations of the company before sending a resume to the company which issues the target recruitment information. The current understanding of the situation of the company by the job seeker can be achieved by searching the evaluation information of the company sought by the job seeker on the forum, wherein the evaluation information mainly comprises payroll treatment, company atmosphere and the like of the evaluation company, and different users feel that different given evaluation information has certain difference, so that the authenticity and reliability of the company issuing recruitment information can not be determined through the evaluation information, and further the authenticity and reliability of target recruitment information matched with the job seeker are reduced.
Disclosure of Invention
In view of the above, the present application aims to provide a data processing method and apparatus for improving the authenticity and reliability of target recruitment information. The technical proposal is as follows:
in one aspect, the present application provides a data processing method, the method comprising:
Acquiring job hunting information of a job seeker through a preset type application, wherein the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization;
determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and a company portrait, wherein the company portrait is obtained according to enterprise information for representing the company strength;
and outputting the target recruitment information.
Optionally, the method further comprises:
acquiring the operation of a job seeker on a delivery entrance to obtain a resume delivery instruction;
if the resume of the job seeker is not determined to be in the preset type application when the resume delivery instruction is responded, displaying a resume creation interface by using the preset type application;
acquiring data input by a job seeker in the resume creation interface to obtain a resume of the job seeker, and transmitting the resume of the job seeker to a company pointed by target recruitment information corresponding to the delivery entrance;
and if the resume of the job seeker is determined to exist in the preset type application in response to the resume delivery instruction, sending the resume of the job seeker to a company pointed by the target recruitment information corresponding to the delivery entrance.
Optionally, the sending the resume of the job seeker to the company pointed to by the target recruitment information corresponding to the delivery entrance includes:
and under the condition that the resume of the job seeker to be sent in the preset type application meets resume sending conditions, sending the resume of the job seeker to a company pointed by the target recruitment information corresponding to the delivery entrance, wherein the resume sending conditions correspond to the company pointed by the target recruitment information corresponding to the delivery entrance.
Optionally, the process of obtaining the company portrait according to the enterprise information for representing the company strength includes:
and calling a company portrait intelligent model to construct a company portrait corresponding to the enterprise information based on the enterprise information for representing the company strength, wherein the company portrait intelligent model is obtained by training a preset neural network model through historical enterprise information and historical company portraits.
Optionally, the generating process of the preset neural network model includes:
obtaining a model framework of a preset neural network model, wherein the model framework comprises an input layer, a hidden layer and an output layer;
determining the number of initial nodes of the hidden layer, the input layer and initial weights corresponding to parameters in the hidden layer;
Determining the number of weights to be optimized in a preset neural network model according to input parameters and output parameters of the preset neural network model, wherein the input parameters are enterprise information, and the output parameters are company portraits;
testing a preset neural network model constructed by the number of the initial nodes and the initial weights by using an evaluation function to obtain a test result;
if the test result does not meet the preset requirement, the initial node number and the initial weight indicated by the weight number to be optimized are adjusted;
and if the test result meets the preset requirement, obtaining a preset neural network model for generating the intelligent model of the company portrait.
Optionally, the method further comprises:
acquiring evaluation information of a company pointed by the job seeker aiming at the target recruitment information;
acquiring target evaluation information from the evaluation information;
and adjusting the company image of the company pointed by the target recruitment information by utilizing the target evaluation information.
Optionally, the method further comprises:
sending an enterprise information auditing request to an enterprise information monitoring node, wherein the enterprise information auditing request carries enterprise information;
And receiving an audit response sent by the enterprise information monitoring node, wherein the audit response is used for indicating whether the enterprise information is valid or not so as to generate a company portrait under the condition that the enterprise information is valid.
Optionally, the determining, according to the job hunting information and the company portrait, the target recruitment information matched with the job hunting information from the recruitment information acquired by the preset application includes:
the job hunting information and the company portrait are input into an information matching model, a target company matched with the job hunting information is determined through the information matching model, target recruitment information matched with the job hunting information is determined from recruitment information issued by the target company, and the information matching model is obtained according to the history job hunting information, the history recruitment information and the history company portrait which are successfully matched in the history recruitment process.
In another aspect, the present application provides a data processing apparatus, the apparatus comprising:
the system comprises an acquisition unit, a judgment unit and a control unit, wherein the acquisition unit is used for acquiring job hunting information of a job seeker through a preset type application, and the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization;
The matching unit is used for determining target recruitment information matched with the job seeking information from recruitment information acquired by a preset type application according to the job seeking information and a company portrait, and the company portrait is obtained according to enterprise information for representing the strength of a company;
and the output unit is used for outputting the target recruitment information.
In still another aspect, the present application provides an electronic device including:
a processor;
a memory for storing computer program code;
the processor runs the computer program code to implement the data processing method described above.
According to the data processing method and device, job seekers are acquired through the preset type application, and the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization; determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength; and outputting target recruitment information, realizing recruitment information retrieval through a preset type application capable of acquiring enterprise information, combining a company portrait with job seeking information in the process of determining the target recruitment information, wherein the company portrait is obtained according to the enterprise information for representing the company strength, and the company strength for issuing the recruitment information is consulted in the process of determining the target recruitment information, so that the authenticity and reliability of the company for issuing the recruitment information are improved, and further the authenticity and reliability of the target recruitment information are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a flow chart of another data processing method according to an embodiment of the present application;
FIG. 3 is a flow chart of yet another data processing method according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
FIG. 5 is a schematic diagram of another data processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of still another data processing apparatus according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flowchart of a data processing method according to an embodiment of the present application may include the following steps:
101: the job seeker's job seeker information is obtained through a preset type application, which can obtain recruitment information issued by a company and enterprise information used for representing the company's strength under the condition of company authorization.
The recruitment information issued by the company at present can be displayed in the webpage of the company and some special recruitment applications, and the data processing method provided by the embodiment changes the display mode of the existing recruitment information, and is displayed in a preset type application capable of acquiring enterprise information for representing the strength of the company under the condition of authorization of the company so as to search the recruitment information through the preset type application. For example, the preset type of application may be, but is not limited to, a mobile banking application, where the mobile banking application corresponds to a bank, and the bank is used as a mechanism for capital circulation of each company, and can monitor each company, so that the bank can acquire enterprise information representing the strength of the company through own internal data or through interaction with other banks, and the enterprise information is convenient to acquire. If the recruitment module is integrated on the mobile banking application, responding to the instruction aiming at the recruitment model (such as generation when the recruitment module is clicked is monitored) so as to acquire the job seeker's job seeker information.
The enterprise information used for representing the company strength includes, but is not limited to, information such as registered funds, running funds, deposit, liability, pay-off timeliness, employee wages and the like, and because the information is confidential information of the company and cannot be used at will under normal conditions, the embodiment obtains the enterprise information under the condition of authorization of the company, recruitment information issued by the company can be transmitted to a server corresponding to a preset type of application through a network under the condition of authorization of the company, and the recruitment information can be obtained from the server in the process of displaying and retrieving the recruitment information. If the company authorization instruction is not received, the preset type application cannot issue recruitment information of the company.
Correspondingly, the job hunting information may be a keyword input by the job hunter, where the input keyword is used to indicate the job hunting intention of the job hunter, or the job hunting information is information corresponding to a job hunting option selected by the job hunter from job hunting options displayed on an interface of a preset type application, that is, some job hunting options, such as industry, region, salary range, etc., are displayed on the interface of the preset type application, and an option characterizing the job hunting intention of the job hunter is selected from these job hunting options as the job hunting information, which is not described in detail in this embodiment.
102: and determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength.
According to the company image obtained according to the enterprise information representing the company strength, in the process of combining job hunting information and company image matching target recruitment information, the company with low reliability and authenticity (such as reliability and authenticity are respectively smaller than corresponding threshold values and the threshold values are not limited) can be excluded, so that recruitment information issued by the company with low reliability and authenticity is automatically excluded in the recruitment information retrieval process, and the target recruitment information can be found out from recruitment information issued by the company with high reliability and authenticity, so that the authenticity and reliability of the target recruitment information are improved.
In this embodiment, one way to determine the target recruitment information is: the job hunting information and the company portrait are input into an information matching model, a target company matched with the job hunting information is determined through the information matching model, and target recruitment information matched with the job hunting information is determined from recruitment information issued by the target company.
The information matching model is obtained through training according to the successfully matched historical job hunting information, the historical job hunting information and the historical company portrait in the historical recruitment process, so that the corresponding relation between the historical job hunting information and the historical company portrait is obtained, enterprise information matched with the job hunting information in the successfully matched recruitment process is determined, and therefore the target company corresponding to the current job hunting information can be screened based on the information matching model. The information matching model is trained by successfully matching the historical job information, the historical recruitment information and the historical company portrait, so that the matching degree of the target company and the current job information is improved, the screening of job seekers on the target company is saved, and the efficiency is improved.
Of course, the information matching model may also take job information and company portrait as input and output as target recruitment information, that is, the determining process of the target recruitment information is added into the information matching model, so as to complete the determination of the target recruitment information through the information matching model. The training process of the corresponding information matching model is obtained according to the successfully matched historical job hunting information, the historical recruitment information and the historical company portrait training in the historical recruitment process, and only the corresponding relation between the job hunting information and the target recruitment information is obtained, so that the embodiment is not described.
In the process of matching the target recruitment information, a plurality of target recruitment information are matched, the target recruitment information can be ordered, the target recruitment information is selected according to the ordering, and the selected target recruitment information is matched with the target recruitment information. Of course, the output can be selectively performed according to the order during the output process.
One way in which the corporate representation is obtained based on the enterprise information for characterizing the company strength is to invoke a corporate representation intelligent model to construct a corporate representation corresponding to the enterprise information based on the enterprise information for characterizing the company strength, wherein the corporate representation intelligent model is obtained by training a preset neural network model through historical enterprise information and historical corporate representations.
Training of the preset neural network model may be: according to the historical enterprise information and the historical company portraits, a test sample and a training sample are obtained, the training sample is used for training the preset neural network model, the trained preset neural network model is tested by the test sample, so that the prediction accuracy of the trained preset neural network model is verified, and the specific process is not described in detail. Wherein the predetermined neural network model may be generated by, but is not limited to, the following:
Step 1: and obtaining a model framework of a preset neural network model, wherein the model framework comprises an input layer, a hidden layer and an output layer. According to the kolmogorov principle, one three-layer BP neural network can complete arbitrary n-dimensional to m-dimensional mapping, so in this embodiment, the model architecture of the preset neural network model is a three-layer architecture, which is an input layer, a hidden layer and an output layer respectively.
Step 2: and determining the number of initial nodes of the hidden layer, and inputting initial weights corresponding to all parameters in the hidden layer. The number of initial nodes and the initial weight may be set by the user according to the history experience, which is not limited in this embodiment.
Step 3: and determining the number of weights to be optimized in the preset neural network model according to the input parameters and the output parameters of the preset neural network model, wherein the input parameters are enterprise information, and the output parameters are company portraits. If the number of the input parameters and the number of the output parameters are determined, the number of weights to be optimized in the preset neural network model is determined, for example, the product of the number of the input parameters and the number of the output parameters is the number of the weights to be optimized in the preset neural network model.
Step 4: and testing a preset neural network model constructed by the number of the initial nodes and the initial weight by using the evaluation function to obtain a test result.
Step 5: and if the test result does not meet the preset requirement, adjusting the initial weight indicated by the number of the initial nodes and the number of the weights to be optimized. The preset requirement is used for indicating that the preset test result obtained by using the evaluation function and the number of times of matching the test result with the preset test result reach the preset number of times, and if the test result is matched with the preset test result but the number of times of matching does not reach the preset number of times, the initial node number and the initial weight indicated by the weight number to be optimized are still continuously adjusted. If the test result is not matched with the preset test result, the number of the initial nodes and the initial weight indicated by the number of the weights to be optimized can be adjusted based on the difference information between the test result and the preset test result.
The present embodiment is not limited to the preset test result and the preset number of times.
Step 6: and if the test result meets the preset requirement, obtaining a preset neural network model for generating the intelligent model of the company portrait.
In addition, in the process of issuing the recruitment information by using the preset type application, the recruitment information further comprises limiting recommendation conditions, the limiting recommendation conditions are used for indicating that the recruitment information is refused to be recommended to the job seeker with preset qualification, the preset qualification can be limiting on own conditions of the job seeker, such as limiting information of academic, age, working experience and the like, and if the limiting recommendation conditions are determined from the resume corresponding to the job seeker, the recruitment information with the limiting recommendation conditions is not recommended to the job seeker.
103: and outputting the target recruitment information. In the process of outputting the target recruitment information, basic information of the company to which the target recruitment information points, such as a company person, average salary, and the like, can also be output. The output basic information can be designated by company personnel, and the basic information designated by different companies can be the same or different, so that the basic information of the company is displayed simultaneously in the process of displaying the target recruitment information, and the employee can know the company pointed by the target recruitment information presumably.
According to the technical scheme, job seeker job seeking information is acquired through the preset type application, and the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization; determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength; and outputting target recruitment information, realizing recruitment information retrieval through a preset type application capable of acquiring enterprise information, combining a company portrait with job seeking information in the process of determining the target recruitment information, wherein the company portrait is obtained according to the enterprise information for representing the company strength, and the company strength for issuing the recruitment information is consulted in the process of determining the target recruitment information, so that the authenticity and reliability of the company for issuing the recruitment information are improved, and further the authenticity and reliability of the target recruitment information are improved.
Referring to fig. 2, a flowchart of another data processing method according to an embodiment of the present application may further include the following steps on the basis of the data processing method shown in fig. 1:
104: and acquiring the operation of the job seeker on the delivery entrance to obtain the resume delivery instruction. The delivery portal may be, but is not limited to, a delivery control displayed in an interface of a preset type of application, the delivery portal binds resume delivery instructions, and resume delivery instructions are obtained when an operation triggering the delivery portal is monitored.
105: and if the resume of the job seeker is not determined to be in the preset type application when the resume delivery instruction is responded, displaying a resume creation interface by using the preset type application.
The resume delivery instruction is used for sending the resume of the job seeker to the company pointed by the target recruitment information corresponding to the delivery entrance, so that if the resume of the job seeker is not available, a resume creation interface needs to be displayed by using a preset type application, the resume creation interface is not limited in the form of the resume creation interface, and the resume can be generated by modes of inputting and selecting some options provided in the resume creation interface by the job seeker.
106: the method comprises the steps of obtaining data input by a job seeker in a resume creation interface to obtain a resume of the job seeker, and sending the resume of the job seeker to a company pointed by target recruitment information corresponding to a delivery entrance.
The embodiment is not limited to the form of the resume creation interface, and the resume may be generated by the manner of inputting and selecting some options provided in the resume creation interface by the job seeker. For example, personnel can input personal basic information, and for the proving material, the proving material is acquired and stored in a server in a mobile phone scanning mode, so that a company which issues recruitment information can conveniently verify the information of the personnel. In addition, job requirements of the job seeker, such as company properties, company operation range, job positions, job salary, job conditions and the like, can be input, and can be matched in the process of recommending target recruitment information.
107: if the resume of the job seeker is determined to exist in the preset type application when the resume delivery instruction is responded, the resume of the job seeker is sent to the company pointed by the target recruitment information corresponding to the delivery entrance.
The company that sends the resume of the job seeker to the target recruitment information corresponding to the delivery portal may be: sending the resume of the job seeker to a mailbox of a company manpower department in a mail form; in this embodiment, the preset type application may further provide a resume sending condition, where the resume sending condition is used to indicate when to send the resume of the job seeker, for example, the resume sending condition may be, but is not limited to, at least one of a specific time, a number of resume reaching a preset number, a job seeker being a urgent professional of a company, and the like, so that in a case where the resume of the job seeker to be sent in the preset type application meets the resume sending condition, the resume of the job seeker is sent to the company to which the target recruitment information corresponding to the delivery entrance points.
The resume sending conditions correspond to the companies to which the target recruitment information corresponding to the delivery entrance points, so that different companies can set different resume sending conditions.
Referring to fig. 3, a further data processing method provided by an embodiment of the present application may include the following steps:
301: the job seeker's job seeker information is obtained through a preset type application, which can obtain recruitment information issued by a company and enterprise information used for representing the company's strength under the condition of company authorization.
302: and determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength.
303: and outputting the target recruitment information.
304: and acquiring evaluation information of the company pointed by the job seeker aiming at the target recruitment information.
305: target evaluation information is acquired from the evaluation information. The target evaluation information is evaluation information capable of correcting the company image, for example, similar evaluation information is obtained from the evaluation information to serve as the target evaluation information, and the similar evaluation information indicates that the impression of the job seeker on the company is uniform, so that the method has popularity.
306: and adjusting the company image of the company pointed by the target recruitment information by using the target evaluation information. For example, the enterprise information and the target evaluation information can be input into the portrait correction model, and the portrait correction model is utilized to adjust the portrait of the company so as to ensure the reality and effectiveness of the portrait of the company, wherein the portrait correction model can be constructed by utilizing, but is not limited to, a model based on a decision tree, and the embodiment is not described.
The company image of the company pointed by the target recruitment information is adjusted through the target evaluation information, so that the company image is more real and effective, and the authenticity and the effectiveness of the target recruitment information can be provided in the recruitment information retrieval process.
In this embodiment, a blockchain corresponding to the client of the job seeker and the client running the preset type application is established, the blockchain includes two nodes, one node corresponds to the client of the job seeker, the other node corresponds to the client running the preset type application, job seeking information, target recruitment information, evaluation information and the like are transmitted through each node on the blockchain, so that information transmission is traceable, and information reliability is improved.
In the above data processing method, the data processing method further includes: sending an enterprise information auditing request to an enterprise information monitoring node, wherein the enterprise information auditing request carries enterprise information; and receiving an audit response sent by the enterprise information monitoring node, wherein the audit response is used for indicating whether the enterprise information is valid or not so as to generate a company portrait under the condition that the enterprise information is valid.
The enterprise information monitoring node can be, but is not limited to, a node located in departments such as industry and commerce, tax and the like, so that the enterprise information is checked through supervision of industry and commerce, tax and the like, the accuracy of the enterprise information is ensured, and the legal interests of job seekers can be really ensured. But recruitment information issued by the company is not limited by the enterprise information monitoring node, so that information leakage is prevented. The enterprise information monitoring node can also correspond to one node in the block chain, and the information is transmitted through the node in the block chain, so that the purpose of traceability of information transmission is achieved.
Corresponding to the above method embodiment, the embodiment of the present application further provides a data processing apparatus, where the structure of the data processing apparatus is shown in fig. 4, and the data processing apparatus may include: an acquisition unit 10, a matching unit 20, and an output unit 30.
The acquiring unit 10 is configured to acquire job seeker's job seeker information through a preset type application, where the preset type application can acquire recruitment information issued by a company and enterprise information for characterizing the strength of the company under the condition of authorization of the company.
For example, the preset type of application may be, but is not limited to, a mobile banking application, where the mobile banking application corresponds to a bank, and the bank is used as a mechanism for capital circulation of each company, and can monitor each company, so that the bank can acquire enterprise information representing the strength of the company through own internal data or through interaction with other banks, and the enterprise information is convenient to acquire. If the recruitment module is integrated on the mobile banking application, responding to the instruction aiming at the recruitment model (such as generation when the recruitment module is clicked is monitored) so as to acquire the job seeker's job seeker information. The enterprise information for characterizing the company strength includes, but is not limited to, information such as registering funds, running funds, deposit, liability, payroll timeliness, employee wages, etc., and the detailed description of the above embodiments is omitted here.
And a matching unit 20 for determining target recruitment information matched with the job hunting information from the recruitment information acquired by the preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength.
According to the company image obtained according to the enterprise information representing the company strength, in the process of combining job hunting information and company image matching target recruitment information, the company with low reliability and authenticity (such as reliability and authenticity are respectively smaller than corresponding threshold values and the threshold values are not limited) can be excluded, so that recruitment information issued by the company with low reliability and authenticity is automatically excluded in the recruitment information retrieval process, and the target recruitment information can be found out from recruitment information issued by the company with high reliability and authenticity, so that the authenticity and reliability of the target recruitment information are improved.
In this embodiment, one way to determine the target recruitment information is: the job hunting information and the company portrait are input into an information matching model, a target company matched with the job hunting information is determined through the information matching model, and target recruitment information matched with the job hunting information is determined from recruitment information issued by the target company.
The information matching model is obtained through training according to the successfully matched historical job hunting information, the historical job hunting information and the historical company portrait in the historical recruitment process, so that the corresponding relation between the historical job hunting information and the historical company portrait is obtained, enterprise information matched with the job hunting information in the successful matched recruitment process is determined, and therefore a target company corresponding to the current job hunting information can be screened based on the information matching model.
One way in which the corporate representation is derived from enterprise information that characterizes the strength of the company is to invoke a corporate representation intelligent model that is derived from training a pre-set neural network model based on the enterprise information that characterizes the strength of the company to construct a corporate representation corresponding to the enterprise information.
Training of the preset neural network model may be: according to the historical enterprise information and the historical company portraits, a test sample and a training sample are obtained, the training sample is used for training the preset neural network model, the trained preset neural network model is tested by the test sample, so that the prediction accuracy of the trained preset neural network model is verified, and the specific process is not described in detail. The preset neural network model may be generated by, but is not limited to, the following:
Obtaining a model framework of a preset neural network model, wherein the model framework comprises an input layer, a hidden layer and an output layer; determining the number of initial nodes of the hidden layer, the input layer and initial weights corresponding to parameters in the hidden layer; determining the number of weights to be optimized in a preset neural network model according to input parameters and output parameters of the preset neural network model, wherein the input parameters are enterprise information, and the output parameters are company portraits; testing a preset neural network model constructed by using the initial node number and the initial weight by using an evaluation function to obtain a test result; if the test result does not meet the preset requirement, the number of the initial nodes and the initial weight indicated by the number of the weights to be optimized are adjusted; if the test result meets the preset requirement, a preset neural network model for generating the intelligent model of the company portrait is obtained, and the description of the generating process of the preset neural network model is referred to the above embodiment, which is not repeated here.
In addition, in the process of issuing the recruitment information by using the preset type application, the recruitment information further comprises limiting recommendation conditions, the limiting recommendation conditions are used for indicating that the recruitment information is refused to be recommended to the job seeker with preset qualification, the preset qualification can be limiting on own conditions of the job seeker, such as limiting information of academic, age, working experience and the like, and if the limiting recommendation conditions are determined from the resume corresponding to the job seeker, the recruitment information with the limiting recommendation conditions is not recommended to the job seeker.
And an output unit 30 for outputting the target recruitment information. In the process of outputting the target recruitment information, basic information of the company to which the target recruitment information points, such as a company person, average salary, and the like, can also be output. The output basic information can be designated by company personnel, and the basic information designated by different companies can be the same or different, so that the basic information of the company is displayed simultaneously in the process of displaying the target recruitment information, and the employee can know the company pointed by the target recruitment information presumably.
According to the technical scheme, job seeker job seeking information is acquired through the preset type application, and the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization; determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the company portrait is obtained according to the enterprise information for representing the company strength; and outputting target recruitment information, realizing recruitment information retrieval through a preset type application capable of acquiring enterprise information, combining a company portrait with job seeking information in the process of determining the target recruitment information, wherein the company portrait is obtained according to the enterprise information for representing the company strength, and the company strength for issuing the recruitment information is consulted in the process of determining the target recruitment information, so that the authenticity and reliability of the company for issuing the recruitment information are improved, and further the authenticity and reliability of the target recruitment information are improved.
Referring to fig. 5, an optional structure of another data processing apparatus according to an embodiment of the present application may further include: a monitoring unit 40, a display unit 50, a creation unit 60 and a transmission unit 70.
The monitoring unit 40 is configured to obtain an operation of the job seeker on the delivery portal, so as to obtain a resume delivery instruction. The delivery portal may be, but is not limited to, a delivery control displayed in an interface of a preset type of application, the delivery portal binds resume delivery instructions, and resume delivery instructions are obtained when an operation triggering the delivery portal is monitored.
And a display unit 50 for displaying a resume creation interface by using the preset type application if it is determined that there is no resume of the job seeker in the preset type application when responding to the resume delivery instruction. The resume delivery instruction is used for sending the resume of the job seeker to the company pointed by the target recruitment information corresponding to the delivery entrance, so that if the resume of the job seeker is not available, a resume creation interface needs to be displayed by using a preset type application, the resume creation interface is not limited in the form of the resume creation interface, and the resume can be generated by modes of inputting and selecting some options provided in the resume creation interface by the job seeker.
A creation unit 60, configured to obtain data input by the job seeker in the resume creation interface, so as to obtain a resume of the job seeker; the embodiment is not limited to the form of the resume creation interface, and the resume may be generated by the manner of inputting and selecting some options provided in the resume creation interface by the job seeker. For example, personnel can input personal basic information, and for the proving material, the proving material is acquired and stored in a server in a mobile phone scanning mode, so that a company which issues recruitment information can conveniently verify the information of the personnel. In addition, job requirements of the job seeker, such as company properties, company operation range, job positions, job salary, job conditions and the like, can be input, and can be matched in the process of recommending target recruitment information.
A transmitting unit 70 for transmitting the resume of the job applicant to the company to which the target recruitment information corresponding to the delivery entrance is directed in the case that the creating unit 60 generates the resume of the job applicant, and for transmitting the resume of the job applicant to the company to which the target recruitment information corresponding to the delivery entrance is directed if it is determined that the resume of the job applicant is present in the preset type application in response to the resume delivery instruction.
The company that sends the resume of the job seeker to the target recruitment information corresponding to the delivery portal may be: sending the resume of the job seeker to a mailbox of a company manpower department in a mail form; in this embodiment, the preset type application may further provide a resume sending condition, where the resume sending condition is used to indicate when to send the resume of the job seeker, for example, the resume sending condition may be, but is not limited to, at least one of a specific time, a number of resume reaching a preset number, a job seeker being a urgent professional of a company, and the like, so that in a case where the resume of the job seeker to be sent in the preset type application meets the resume sending condition, the resume of the job seeker is sent to the company to which the target recruitment information corresponding to the delivery entrance points. The resume sending conditions correspond to the companies to which the target recruitment information corresponding to the delivery entrance points, so that different companies can set different resume sending conditions.
Referring to fig. 6, an optional structure of a further data processing apparatus according to an embodiment of the present application may further include: an information acquisition unit 80 and an adjustment unit 90.
The information acquisition unit 80 is configured to acquire evaluation information of a company to which the job seeker points with respect to the target recruitment information, and acquire target evaluation information from the evaluation information. The target evaluation information is evaluation information capable of correcting the company image, for example, similar evaluation information is obtained from the evaluation information to serve as the target evaluation information, and the similar evaluation information indicates that the impression of the job seeker on the company is uniform, so that the method has popularity.
An adjustment unit 90 for adjusting the company image of the company to which the target recruitment information is directed by using the target evaluation information. For example, the enterprise information and the target evaluation information can be input into the portrait correction model, and the portrait correction model is utilized to adjust the portrait of the company so as to ensure the reality and effectiveness of the portrait of the company, wherein the portrait correction model can be constructed by utilizing, but is not limited to, a model based on a decision tree, and the embodiment is not described.
The company image of the company pointed by the target recruitment information is adjusted through the target evaluation information, so that the company image is more real and effective, and the authenticity and the effectiveness of the target recruitment information can be provided in the recruitment information retrieval process.
The embodiment of the application also provides electronic equipment, which comprises: a processor; a memory for storing computer program code; the processor runs the computer program code to implement the data processing method described above.
The embodiment of the application also provides a storage medium, wherein the storage medium stores program codes, and the program codes realize the data processing method when running.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, features described in each embodiment may be replaced or combined with each other, and each embodiment mainly describes differences from other embodiments, and identical and similar parts between the embodiments are only required to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (8)
1. A method of data processing, the method comprising:
acquiring job hunting information of a job seeker through a preset type application, wherein the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization;
determining target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and a company portrait, wherein the company portrait is obtained according to enterprise information for representing the company strength, and the process for obtaining the company portrait according to the enterprise information for representing the company strength comprises the following steps: calling a company portrait intelligent model to construct a company portrait corresponding to the enterprise information based on the enterprise information for representing the company strength, wherein the company portrait intelligent model is obtained by training a preset neural network model through historical enterprise information and historical company portraits;
Outputting the target recruitment information;
the determining the target recruitment information matched with the job hunting information from the recruitment information acquired by the preset application according to the job hunting information and the company portrait comprises the following steps:
the job hunting information and the company portrait are input into an information matching model, a target company matched with the job hunting information is determined through the information matching model, target recruitment information matched with the job hunting information is determined from recruitment information issued by the target company, and the information matching model is obtained according to the history job hunting information, the history recruitment information and the history company portrait which are successfully matched in the history recruitment process.
2. The method according to claim 1, wherein the method further comprises:
acquiring the operation of a job seeker on a delivery entrance to obtain a resume delivery instruction;
if the resume of the job seeker is not determined to be in the preset type application when the resume delivery instruction is responded, displaying a resume creation interface by using the preset type application;
acquiring data input by a job seeker in the resume creation interface to obtain a resume of the job seeker, and transmitting the resume of the job seeker to a company pointed by target recruitment information corresponding to the delivery entrance;
And if the resume of the job seeker is determined to exist in the preset type application in response to the resume delivery instruction, sending the resume of the job seeker to a company pointed by the target recruitment information corresponding to the delivery entrance.
3. The method of claim 2, wherein the sending the resume of the job applicant to the company to which the target recruitment information corresponding to the delivery portal is directed comprises:
and under the condition that the resume of the job seeker to be sent in the preset type application meets resume sending conditions, sending the resume of the job seeker to a company pointed by the target recruitment information corresponding to the delivery entrance, wherein the resume sending conditions correspond to the company pointed by the target recruitment information corresponding to the delivery entrance.
4. The method according to claim 1, wherein the generating of the predetermined neural network model includes:
obtaining a model framework of a preset neural network model, wherein the model framework comprises an input layer, a hidden layer and an output layer;
determining the number of initial nodes of the hidden layer, the input layer and initial weights corresponding to parameters in the hidden layer;
determining the number of weights to be optimized in a preset neural network model according to input parameters and output parameters of the preset neural network model, wherein the input parameters are enterprise information, and the output parameters are company portraits;
Testing a preset neural network model constructed by the number of the initial nodes and the initial weights by using an evaluation function to obtain a test result;
if the test result does not meet the preset requirement, the initial node number and the initial weight indicated by the weight number to be optimized are adjusted;
and if the test result meets the preset requirement, obtaining a preset neural network model for generating the intelligent model of the company portrait.
5. The method according to claim 1, wherein the method further comprises:
acquiring evaluation information of a company pointed by the job seeker aiming at the target recruitment information;
acquiring target evaluation information from the evaluation information;
and adjusting the company image of the company pointed by the target recruitment information by utilizing the target evaluation information.
6. The method according to claim 1, wherein the method further comprises:
sending an enterprise information auditing request to an enterprise information monitoring node, wherein the enterprise information auditing request carries enterprise information;
and receiving an audit response sent by the enterprise information monitoring node, wherein the audit response is used for indicating whether the enterprise information is valid or not so as to generate a company portrait under the condition that the enterprise information is valid.
7. A data processing apparatus, the apparatus comprising:
the system comprises an acquisition unit, a judgment unit and a control unit, wherein the acquisition unit is used for acquiring job hunting information of a job seeker through a preset type application, and the preset type application can acquire recruitment information issued by a company and enterprise information used for representing the strength of the company under the condition of company authorization;
the matching unit is used for determining target recruitment information matched with the job seeking information from recruitment information acquired by a preset type application according to the job seeking information and a company portrait, the company portrait is obtained according to enterprise information for representing the strength of a company, and the process for obtaining the company portrait according to the enterprise information for representing the strength of the company comprises the following steps: calling a company portrait intelligent model to construct a company portrait corresponding to the enterprise information based on the enterprise information for representing the company strength, wherein the company portrait intelligent model is obtained by training a preset neural network model through historical enterprise information and historical company portraits;
the output unit is used for outputting the target recruitment information;
the matching unit determines target recruitment information matched with the job hunting information from recruitment information acquired by a preset type application according to the job hunting information and the company portrait, wherein the target recruitment information comprises:
The job hunting information and the company portrait are input into an information matching model, a target company matched with the job hunting information is determined through the information matching model, target recruitment information matched with the job hunting information is determined from recruitment information issued by the target company, and the information matching model is obtained according to the history job hunting information, the history recruitment information and the history company portrait which are successfully matched in the history recruitment process.
8. An electronic device, the electronic device comprising:
a processor;
a memory for storing computer program code;
the processor runs the computer program code to implement the data processing method according to any one of claims 1 to 6.
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| CN113918765A (en) * | 2021-11-04 | 2022-01-11 | 盐城金堤科技有限公司 | Video recommendation method, device, medium and electronic equipment |
| CN116468414B (en) * | 2023-04-21 | 2023-11-21 | 中山市才通天下信息科技股份有限公司 | Recruitment intelligent resume screening and evaluating method and system |
| CN117252565B (en) * | 2023-11-10 | 2024-02-06 | 北京华品博睿网络技术有限公司 | Company bright spot generation method and system |
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